{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0k4OmB6/m+BlLLwqNbcUYshbokEpn6ctSmvFpf6qqC28GzHhDeFGk/Iz9/k6C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\nGAD+P3ezDW8PMKLcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10dba7128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import nclcmaps\n",
    "import numpy as np\n",
    "x = y = np.arange(-3.0, 3.01, 0.05)\n",
    "X, Y = np.meshgrid(x, y)\n",
    "Z1 = plt.mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)\n",
    "plt.pcolormesh(X,Y,Z1,cmap=nclcmaps.cmaps('BlGrYeOrReVi200'))\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
